Triple

T11102685
Position Surface form Disambiguated ID Type / Status
Subject Raj Kapoor E262550 entity
Predicate spouse P13 FINISHED
Object Krishna Kapoor
Krishna Kapoor was the wife of legendary Indian filmmaker and actor Raj Kapoor and a matriarch of the prominent Kapoor family in Bollywood.
E915841 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Krishna Kapoor | Statement: [Raj Kapoor, spouse, Krishna Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna Kapoor
Context triple: [Raj Kapoor, spouse, Krishna Kapoor]
  • A. Vikrant Kapoor
    Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
  • B. Rajat Kapoor
    Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
  • C. Sanjay Kapoor
    Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
  • D. Kunal Kapoor
    Kunal Kapoor is an Indian actor known for his work in Hindi cinema, particularly for his acclaimed performance in the film "Rang De Basanti."
  • E. Harshvardhan Kapoor
    Harshvardhan Kapoor is an Indian film actor known for his work in Hindi cinema, including his debut in the critically acclaimed film "Mirzya."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Krishna Kapoor
Triple: [Raj Kapoor, spouse, Krishna Kapoor]
Generated description
Krishna Kapoor was the wife of legendary Indian filmmaker and actor Raj Kapoor and a matriarch of the prominent Kapoor family in Bollywood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krishna Kapoor
Target entity description: Krishna Kapoor was the wife of legendary Indian filmmaker and actor Raj Kapoor and a matriarch of the prominent Kapoor family in Bollywood.
  • A. Vikrant Kapoor
    Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
  • B. Rajat Kapoor
    Rajat Kapoor is an Indian actor, writer, and filmmaker known for his work in independent cinema and acclaimed films such as "Bheja Fry," "Mithya," and "Ankhon Dekhi."
  • C. Sanjay Kapoor
    Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
  • D. Kunal Kapoor
    Kunal Kapoor is an Indian actor known for his work in Hindi cinema, particularly for his acclaimed performance in the film "Rang De Basanti."
  • E. Harshvardhan Kapoor
    Harshvardhan Kapoor is an Indian film actor known for his work in Hindi cinema, including his debut in the critically acclaimed film "Mirzya."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2c30a481908c45020c37caebe4 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f395944c8190bf0f824156f0f370 completed April 19, 2026, 3:24 p.m.
NEDg Description generation batch_69e4f9596e1081908e7b319f77453438 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff4645948190a2bfcc3a4efd8e2a completed April 19, 2026, 4:13 p.m.
Created at: April 8, 2026, 9:27 p.m.